| Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance study T Mackey, V Purushothaman, J Li, N Shah, M Nali, C Bardier, B Liang, ... JMIR public health and surveillance 6 (2), e19509, 2020 | 153 | 2020 |
| Big data, natural language processing, and deep learning to detect and characterize illicit COVID-19 product sales: Infoveillance study on Twitter and Instagram TK Mackey, J Li, V Purushothaman, M Nali, N Shah, C Bardier, M Cai, ... JMIR public health and surveillance 6 (3), e20794, 2020 | 103 | 2020 |
| Characterizing twitter user topics and communication network dynamics of the “Liberate” movement during COVID-19 using unsupervised machine learning and social network analysis MR Haupt, A Jinich-Diamant, J Li, M Nali, TK Mackey Online Social Networks and Media 21, 100114, 2021 | 61 | 2021 |
| Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter TK Mackey, V Purushothaman, M Haupt, MC Nali, J Li The Lancet Digital Health 3 (2), e72-e75, 2021 | 41 | 2021 |
| Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance study. JMIR Public … T Mackey, V Purushothaman, J Li, N Shah, M Nali, C Bardier, B Liang, ... | 15 | |
| Applying topic modelling and qualitative content analysis to identify and characterise ENDS product promotion and sales on Instagram N Shah, M Nali, C Bardier, J Li, J Maroulis, R Cuomo, TK Mackey Tobacco control 32 (e2), e153-e159, 2023 | 13 | 2023 |
| Content analysis of nicotine poisoning (nic sick) videos on TikTok: retrospective observational infodemiology study V Purushothaman, T McMann, M Nali, Z Li, R Cuomo, TK Mackey Journal of medical internet research 24 (3), e34050, 2022 | 13 | 2022 |
| Characterizing and assessing compliance of online vendors to the state of Massachusetts ENDS product sales ban MC Nali, V Purushothaman, Q Xu, RE Cuomo, TK Mackey Tobacco induced diseases 19, 2021 | 8 | 2021 |
| The influence of social media affordances on drug dealer posting behavior across multiple social networking sites (SNS) MR Haupt, R Cuomo, J Li, M Nali, TK Mackey Computers in Human Behavior Reports 8, 100235, 2022 | 7 | 2022 |
| Unsupervised machine learning to detect and characterize barriers to pre-exposure prophylaxis therapy: multiplatform social media study Q Xu, MC Nali, T McMann, H Godinez, J Li, Y He, M Cai, C Lee, ... JMIR infodemiology 2 (1), e35446, 2022 | 7 | 2022 |
| Evaluation of hybrid unsupervised and supervised machine learning approach to detect self-reporting of COVID-19 symptoms on Twitter M Cai, J Li, M Nali, TK Mackey 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 6 | 2021 |
| Machine Learning to Detect Self-Reporting of Symptoms, Testing access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public … T Mackey, V Purushothaman, J Li, N Shah, M Nali, C Bardier, R Cuomo | 5 | 2020 |
| Characterizing California licensure status and tobacco user experience with adverse events using Yelp data MC Nali, V Purushothaman, J Li, TK Mackey Preventive medicine reports 26, 101720, 2022 | 4 | 2022 |
| A geospatial analysis of age disparities in resolute localities of tobacco and vaping-specific storefronts in California RE Cuomo, JS Yang, VL Purushothaman, M Nali, J Li, TK Mackey Tobacco Prevention & Cessation 7, 2021 | 4 | 2021 |
| Big data, natural language processing, and deep learning to detect and characterize illicit COVID-19 product sales: infoveillance study on twitter and instagram. JMIR Public … TK Mackey, J Li, V Purushothaman, M Nali, N Shah, C Bardier, M Cai, ... | 4 | 2020 |
| Digital surveillance to identify California alternative and emerging tobacco industry policy influence and mobilization on Facebook Q Xu, J Yang, MR Haupt, M Cai, MC Nali, TK Mackey International Journal of Environmental Research and Public Health 18 (21), 11150, 2021 | 3 | 2021 |
| Characterizing self-reported tobacco, vaping, and marijuana-related tweets geolocated for California college campuses RE Cuomo, VL Purushothaman, J Li, C Bardier, M Nali, N Shah, ... Frontiers in Public Health 9, 628812, 2021 | 3 | 2021 |
| Assessing characteristics and compliance of online delta-8 tetrahydrocannabinol product sellers MC Nali, TJ McMann, V Purushothaman, Z Li, RE Cuomo, BA Liang, ... Cannabis and Cannabinoid Research, 2023 | 2 | 2023 |
| Impact of COVID-19 on HIV prevention access: a multi-platform social media infodemiology study Q Xu, T McMann, H Godinez, MC Nali, J Li, M Cai, C Merenda, C Lee, ... AIDS and Behavior 27 (6), 1886-1896, 2023 | 1 | 2023 |
| Association of tobacco retailer count with smoking population versus vaping population in California (2019) V Purushothaman, RE Cuomo, J Li, M Nali, TK Mackey Archives of Public Health 80 (1), 42, 2022 | 1 | 2022 |
